Two PhD Positions in Computational Phylogenetics
The Algorithms and Bioinformatics Group of Dalhousie University's Faculty of Computer Science invites applications for two PhD student positions in computational phylogenetics under the supervision of Dr. Norbert Zeh. The positions are part of a research project aimed at developing efficient algorithms for constructing phylogenetic networks that reconcile discordant evolutionary histories of a set of taxa. Some of the main themes of the project are the development of algorithms for constructing phylogenetic networks that reconcile *many* phylogentic trees, especially sets of trees with overlapping but non-identical leaf sets, and the development of stronger versions of practical speed-up techniques such as cluster reduction. The project spans the full spectrum from studying the mathematical properties of different classes of phylogenetic networks, via studying the computational complexity of network construction problems, to the engineering and experimental evaluation of efficient implementations of phylogenetic network construction algorithms and, jointly with bioinformatics practitioners, the application of the developed tools to gain insights into the evolution of sets of taxa.
Applicants are expected to hold a Master's degree in Computer Science or Mathematics and should have a solid understanding of
- Undergraduate-level algorithms and data structures and
- Elementary combinatorics and graph theory.
In addition, applicants are expected to be highly motivated to conduct research in these areas.
Applicants should complete the application process described here and should send a full Curriculum Vitae, transcript, and a cover letter/email highlighting their prior achievements, expertise, and research interests by email to email@example.com. Applicants are strongly encouraged to contact Dr. Zeh as early as possible to express interest and to ask any questions they may have about the positions or the project in general. The positions are available for May or September 2020. Applications will be considered until the positions are filled.
All qualified candidates are encouraged to apply. The University encourages applications from qualified Aboriginal people, persons with a disability, racially visible persons, and women.